HyGCN: A GCN Accelerator with Hybrid Architecture

7 January 2020

Lei Deng

Xiaochun Ye

Papers citing "HyGCN: A GCN Accelerator with Hybrid Architecture"

50 / 84 papers shown

Title
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 37 0 0 25 Apr 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 57 2 0 08 Jan 2025
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference Pol Puigdemont Enrico Russo Axel Wassington Abhijit Das S. Abadal M. Palesi GNN 64 0 0 25 Nov 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration Runzhen Xue Mingyu Yan Dengke Han Zhimin Tang Xiaochun Ye Dongrui Fan GNN 19 0 0 27 Aug 2024
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator Kaustubh Shivdikar Nicolas Bohm Agostini Malith Jayaweera Gilbert Jonatan José L. Abellán Ajay Joshi John Kim David Kaeli GNN 19 0 0 23 Apr 2024
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA Bingyi Zhang Rajgopal Kannan Carl E. Busart Viktor Prasanna GNN ViT 27 0 0 10 Apr 2024
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning Hanning Chen Yang Ni Ali Zakeri Zhuowen Zou Sanggeon Yun Fei Wen Behnam Khaleghi Narayan Srinivasa Hugo Latapie Mohsen Imani 31 1 0 09 Mar 2024
Single-GPU GNN Systems: Traps and Pitfalls Yidong Gong A. Tarafder Saima Afrin Pradeep Kumar GNN 30 3 0 05 Feb 2024
Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics Salma Afifi Febin P. Sunny Mahdi Nikdast S. Pasricha GNN 21 2 0 12 Jan 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 30 37 0 14 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 25 1 0 06 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
Architectural Implications of GNN Aggregation Programming Abstractions Yingjie Qi Jianlei Yang Ao Zhou Tong Qiao Chunming Hu GNN AI4CE 13 5 0 18 Oct 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 8 1 0 20 Sep 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design Shuwen Lu Zhihui Zhang Cong Guo Jingwen Leng Yangjie Zhou Minyi Guo GNN 19 1 0 16 Aug 2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration Paul Chen Pavan Manjunath Sasindu Wijeratne Bingyi Zhang Viktor Prasanna GNN 21 8 0 04 Aug 2023
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment Mohanad Odema Halima Bouzidi Hamza Ouarnoughi Smail Niar M. A. Al Faruque 37 7 0 16 Jul 2023
GHOST: A Graph Neural Network Accelerator using Silicon Photonics S. Afifi Febin P. Sunny Amin Shafiee Mahdi Nikdast S. Pasricha GNN 23 7 0 04 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs Shih-Yu Huang Yun-Chen Yang Yu-Ru Su Bo-Cheng Lai Javier Mauricio Duarte Scott Hauck Shih-Chieh Hsu Jin-Xuan Hu Mark S. Neubauer GNN 17 1 0 20 Jun 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 28 7 0 29 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 14 5 0 22 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 24 5 0 02 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 32 7 0 01 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach Mahmoud Nazzal Abdallah Khreishah Joyoung Lee Shaahin Angizi Ala I. Al-Fuqaha Mohsen Guizani 23 6 0 28 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 21 15 0 02 Feb 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 35 17 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 28 5 0 24 Jan 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Bingyi Zhang R. Kannan Viktor Prasanna Carl E. Busart 22 14 0 04 Jan 2023
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Mingyu Yan Xiaochun Ye Dongrui Fan Shirui Pan Wenguang Chen Yuan Xie GNN 25 24 0 10 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers Liekang Zeng Chong Yang Peng Huang Zhi Zhou Shuai Yu Xu Chen GNN 22 25 0 31 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 23 0 0 20 Oct 2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU Han-Chen Chen Yahya Alhinai Yihan Jiang Eunjee Na Cong Hao GNN AI4CE 17 5 0 08 Oct 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics Zhiqiang Que Hongxiang Fan Marcus Loo He Li Michaela Blott M. Pierini A. Tapper Wayne Luk GNN 29 12 0 28 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms Yuke Wang Boyuan Feng Zheng Wang Tong Geng Kevin J. Barker Ang Li Yufei Ding GNN 32 25 0 14 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 14 1 0 07 Sep 2022
Characterizing and Understanding HGNNs on GPUs Mingyu Yan Mo Zou Xiaocheng Yang Wenming Li Xiaochun Ye Dongrui Fan Yuan Xie GNN 6 14 0 09 Aug 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 34 0 0 25 Jul 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture Chengming Zhang Tong Geng Anqi Guo Jiannan Tian Martin C. Herbordt Ang Li Dingwen Tao GNN 23 27 0 28 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 24 12 0 17 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 24 10 0 15 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 27 48 0 10 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 22 27 0 27 Apr 2022
Characterizing and Understanding Distributed GNN Training on GPUs Haiyang Lin Mingyu Yan Xiaocheng Yang Mo Zou Wenming Li Xiaochun Ye Dongrui Fan GNN 25 13 0 18 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 28 30 0 23 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang R. Kannan Viktor Prasanna Carl E. Busart GNN 24 23 0 10 Mar 2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization Tong Geng Chunshu Wu Yongan Zhang Cheng Tan Chenhao Xie Haoran You Martin C. Herbordt Yingyan Lin Ang Li GNN 15 107 0 07 Mar 2022